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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More


Christoph Reich

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17753
Fax: +49-89-289-17757
Office: 02.09.058
Mail: C.Reich@tum.de

Personal Website, Google Scholar, Twitter (X), LinkedIn, GitHub

Updates

April 2024: 📑 Two papers have been accepted to CVPRW 2024.

February 2024: 👨‍🔧 Started my ELLIS Ph.D. at CVG (Daniel Cremers)

January 2024: 🥳 I was recognized as an outstanding reviewer at WACV 2024.

August 2023: 📑 Our paper Differentiable JPEG: The Devil is in the Details has been accepted to WACV 2024.

August 2023: 📑 Our paper The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures has been accepted to ICCVW 2023.

April 2023: 📑 Two papers An Instance Segmentation Dataset of Yeast Cells in Microstructures and On the Atrial Fibrillation Detection Performance of ECG-DualNet have been accepted to EMBC 2023.

July 2022:👨‍🔧 I started a research internship at NEC Laboratories America (Princeton).

June 2022: 📑 Our journal article has been accepted to appear in Physiological Measurement.

June 2022: 🥳 I got awarded a Lightning AI Travel Scholarship to visit the 2022 Lightning AI DevCon in NYC.

June 2022: 🥳 I was awarded the Papers with Code (Meta AI) Contributor Award.

About

I'm an ELLIS Ph.D. student at CVG. My research focuses on unsupervised scene understanding and self-supervised learning. I'm supervised by Daniel Cremers (CVG), Stefan Roth (Visual Inference Lab, TU Darmstadt), and Christian Rupprecht (Visual Geometry Group, University of Oxford). Prior to my Ph.D., I did research at NEC Laboratories America (Princeton), the Self-Organizing Systems Lab (TU Darmstadt; Heinz Koeppl), and the Artificial Intelligent Systems in Medicine Lab (TU Darmstadt; Christoph Hoog Antink).

I received a bachelor's in Information Systems Technology (computer science U electrical engineering) and a master's in Autonomous Systems (computer science) from TU Darmstadt. During my bachelor, I work as a working student at Bosch and as a teaching assistant at the mathematics department (TU Darmstadt) and the E5 Lab (TU Darmstadt).

Research Interests

I'm interested in unsupervised scene understanding (in 2D, 3D, and 4D), scene/optical flow as well as depth estimation, and self-supervised representation learning. Feel free to reach out if you would like to discuss research ideas.

Student Projects

I am open to supervising ambitious and talented Master's and Bachelor's students for their thesis. If you want to work with me, please send me an email describing the area/project you would like to work on. Please also attach your CV and up-to-date transcript.

Publications

Full publication list


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Journal Articles
2022
[]Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning (M Rohr, C Reich, A Höhl, T Lilienthal, T Dege, F Plesinger, V Bulkova, GD Clifford, MA Reyna and C Hoog Antink), In Physiological Measurement, IOP Publishing, volume 43, 2022.  [bibtex]
[]Yeast cell segmentation in microstructured environments with deep learning (T Prangemeier, C Wildner, AO. Françani, C Reich and H Koeppl), In Biosystems, Elsevier, volume 211, 2022.  [bibtex]
Conference and Workshop Papers
2024
[]A Perspective on Deep Vision Performance with Standard Image and Video Codecs (C Reich, O Hahn, D Cremers, S Roth and B Debnath), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), in press, 2024.  [bibtex]
[]Deep Video Codec Control (C Reich, B Debnath, D Patel, T Prangemeier, D Cremers and S Chakradhar), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), in press, 2024.  [bibtex] [arXiv:2308.16215]
[]Differentiable JPEG: The Devil is in the Details (C Reich, B Debnath, D Patel and S Chakradhar), In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. ([project page]) [bibtex] [arXiv:2309.06978]
2023
[]Transformer Network with Time Prior for Predicting Clinical Outcome from EEG of Cardiac Arrest Patients (M Rohr, T Schilke, L Willems, C Reich, S Dill, G Güney and C Hoog Antink), In 50th Computing in Cardiology Conference (CinC), 2023.  [bibtex]
[]On the Atrial Fibrillation Detection Performance of ECG-DualNet (C Reich, M Rohr, T Kircher and C Hoog Antink), In 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1-Page Paper, medRxiv, 2023.  [bibtex]
[]The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures (C Reich, T Prangemeier and H Koeppl), In IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023. ([project page]) [bibtex] [arXiv:2304.07597]
[]An Instance Segmentation Dataset of Yeast Cells in Microstructures (C Reich, T Prangemeier, AO Françani and H Koeppl), In 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. ([project page]) [bibtex]
2022
[]Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels (AG Gul, O Cetin, C Reich, N Flinner, T Prangemeier and H Koeppl), In Medical Imaging 2022: Digital and Computational Pathology, Proceedings of SPIE, volume 12039, 2022.  [bibtex] [arXiv:2210.09021]
2021
[]OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data (C Reich, T Prangemeier, Ö Cetin and H Koeppl), In British Machine Vision Conference (BMVC), 2021. ([project page]) [bibtex] [arXiv:2110.10640]
[]Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy (C Reich, T Prangemeier, C Wildner and H Koeppl), In International Conference on Medical image computing and computer-assisted intervention (MICCAI), 2021. ([project page]) [bibtex] [arXiv:2106.08285]
2020
[]Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning (T Prangemeier, C Wildner, AO. Françani, C Reich and H Koeppl), In 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2020.  [bibtex] [arXiv:2011.08062]
[]Attention-Based Transformers for Instance Segmentation of Cells in Microstructures (T Prangemeier, C Reich and H Koeppl), In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020.  [bibtex] [arXiv:2011.09763]
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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More